A bioinformatics approach for identifying potential molecular mechanisms and key genes involved in COVID-19 associated cardiac remodeling
- PMID: 34131597
- PMCID: PMC8192842
- DOI: 10.1016/j.genrep.2021.101246
A bioinformatics approach for identifying potential molecular mechanisms and key genes involved in COVID-19 associated cardiac remodeling
Abstract
In 2019 coronavirus disease (COVID-19), whose main complication is respiratory involvement, different organs may also be affected in severe cases. However, COVID-19 associated cardiovascular manifestations are limited at present. The main purpose of this study was to identify potential candidate genes involved in COVID-19-associated heart damage by bioinformatics analysis. Differently expressed genes (DEGs) were identified using transcriptome profiles (GSE150392 and GSE4172) downloaded from the GEO database. After gene and pathway enrichment analyses, PPI network visualization, module analyses, and hub gene extraction were performed using Cytoscape software. A total of 228 (136 up and 92 downregulated) overlapping DEGs were identified at these two microarray datasets. Finally, the top hub genes (FGF2, JUN, TLR4, and VEGFA) were screened out as the critical genes among the DEGs from the PPI network. Identification of critical genes and mechanisms in any disease can lead us to better diagnosis and targeted therapy. Our findings identified core genes shared by inflammatory cardiomyopathy and SARS-CoV-2. The findings of the current study support the idea that these key genes can be used in understanding and managing the long-term cardiovascular effects of COVID-19.
Keywords: ACE2, angiotensin-converting enzyme 2; Bioinformatics analysis; COVID-19; COVID-19, the coronavirus disease 2019; Cardiac remodeling; DEGs, differentially expressed genes; Differential expression; GEO, Gene Expression Omnibus; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genome; PPI, the protein-protein interaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; STRING, the search tool for the retrieval of interacting genes.
© 2021 Elsevier Inc. All rights reserved.
Conflict of interest statement
The author declares that there is no conflict of interest with any financial organization or corporation or individual that can inappropriately influence this work.
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